Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3 235B 2507 finishes one point ahead overall, 37 to 36. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Qwen3 235B 2507's sharpest advantage is in multimodal & grounded, where it averages 41.6 against 33.4. The single biggest benchmark swing on the page is MMMU-Pro, 38 to 28. Ministral 3 8B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
Qwen3 235B 2507
33.7
Ministral 3 8B (Reasoning)
38.5
Qwen3 235B 2507
14.6
Ministral 3 8B (Reasoning)
15.2
Qwen3 235B 2507
41.6
Ministral 3 8B (Reasoning)
33.4
Qwen3 235B 2507
45.6
Ministral 3 8B (Reasoning)
42.1
Qwen3 235B 2507
31.9
Ministral 3 8B (Reasoning)
30
Qwen3 235B 2507
69
Ministral 3 8B (Reasoning)
70
Qwen3 235B 2507
60.4
Ministral 3 8B (Reasoning)
61.7
Qwen3 235B 2507
46.6
Ministral 3 8B (Reasoning)
47.8
Qwen3 235B 2507 is ahead overall, 37 to 36. The biggest single separator in this matchup is MMMU-Pro, where the scores are 38 and 28.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 31.9 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for coding in this comparison, averaging 15.2 versus 14.6. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for math in this comparison, averaging 47.8 versus 46.6. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for reasoning in this comparison, averaging 45.6 versus 42.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for agentic tasks in this comparison, averaging 38.5 versus 33.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for multimodal and grounded tasks in this comparison, averaging 41.6 versus 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for instruction following in this comparison, averaging 70 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 61.7 versus 60.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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